A high-accuracy three-dimensional coordinate digitizing system for reconstructing the geometry of diarthrodial joints

Haut, T. L.; Hull, Maury L.; Howell, Stephen M.

doi:10.1016/s0021-9290(98)00049-9

Cited by 27 publications

(25 citation statements)

References 10 publications

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“…However, these data could be important in the context of meniscal tissue engineering and transplantation [Stone et al, 1994;Pollard et al, 1995;Haut et al, 1998;Glowacki 2001;McDermott et al, 2004;Stone et al, 2007;Baker et al, 2009;Van Thiel et al, 2009;Yang and Temenoff, 2009;Elsner et al, 2010], which aim to restore normal (physiological) joint conditions. Recently, we [Wirth et al, 2010a] and others [Elsner et al, 2010;Swanson et al, 2010] developed techniques for quantitative measurement of meniscus morphology from magnetic resonance (MR) images (MRI), specifically, software for determining three-dimensional (3D) measures of tibial plateau coverage, meniscus size, and relative meniscus position (extrusion) for the total meniscus as well as its subregions (i.e.…”

Section: Introductionmentioning

confidence: 99%

Morphometric Differences between the Medial and Lateral Meniscus in Healthy Men – A Three-Dimensional Analysis Using Magnetic Resonance Imaging

Bloecker¹,

Wirth²,

Hudelmaier³

et al. 2011

Cells Tissues Organs

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The objective of this work was to characterize tibial plateau coverage and morphometric differences of the medial (MM) and lateral meniscus (LM) in a male reference cohort using three-dimensional imaging. Coronal multiplanar reconstructions of a sagittal double-echo steady state with water excitation magnetic resonance sequence (slice thickness: 1.5 mm, and in-plane resolution: 0.37 × 0.70 mm) were analyzed in 47 male participants without symptoms, signs or risk factors of knee osteoarthritis of the reference cohort of the Osteoarthritis Initiative. The medial and lateral tibial (LT) plateau cartilage area and the tibial, femoral and external surfaces of the MM and LM were manually segmented throughout the entire knee. This process was assisted by parallel inspection of a coronal intermediately weighted turbo spin echo sequence. Measures of tibial coverage, meniscus size, and meniscus position were computed three-dimensionally for the total menisci, the body, and the anterior and the posterior horn. The LM was found to cover a significantly greater (p < 0.001) proportion of the LT plateau (59 ± 6.8%) than the MM of the medial plateau (50 ± 5.5%). Whereas the volume of both menisci was similar (2.444 vs. 2.438 ml; p = 0.92), the LM displayed larger tibial and femoral surface areas (p < 0.05) and a smaller maximal (7.2 ± 1.0 vs. 7.7 ± 1.1 mm; p < 0.01) and mean thickness (2.7 ± 0.3 vs. 2.8 ± 0.3 mm; p < 0.001) than the medial one. Also, the LM displayed less (physiological) extrusion than the medial one. These data may guide strategies for meniscal tissue engineering and transplantation aiming to restore normal joint conditions.

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Section: Introductionmentioning

confidence: 99%

Morphometric Differences between the Medial and Lateral Meniscus in Healthy Men – A Three-Dimensional Analysis Using Magnetic Resonance Imaging

Bloecker¹,

Wirth²,

Hudelmaier³

et al. 2011

Cells Tissues Organs

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“…Although a previous non-contacting, laser-based, threedimensional coordinate digitizing system (3-DCDS) has been used to record the three-dimensional size and shape of the menisci and articular cartilage in human knee joints (Haut et al, 1998), one possible limitation of this system is the time in which a full scan can be completed. The five scans needed to develop a complete three-dimensional model of the meniscus require a total time of about 60 min.…”

Section: Introductionmentioning

confidence: 99%

Dehydration rates of meniscus and articular cartilage in vitro using a fast and accurate laser-based coordinate digitizing system

Pham

Hull

2007

Journal of Biomechanics

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“…14 The other knee of the pair was disarticulated, and a laser-based noncontacting 3-D coordinate digitizing system (3-DCDS) was used to acquire the 3-D geometry of the medial and lateral menisci with an accuracy of 15 mm. 16 Briefly, a computer representation of each meniscus was created by measuring the surface contours of the menisci and tibial plateau, and then subtracting the surface contour of the tibial plateau measured with the menisci excised. Using the computer representation, a standardized transverse plane was determined for each tibia by performing a least squares regression on the data points of the tibial plateau scanned without the menisci.…”

Section: Methodsmentioning

confidence: 99%

New algorithm for selecting meniscal allografts that best match the size and shape of the damaged meniscus

2006

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Procedures used by tissue banks in selecting meniscal allografts that will best restore normal contact pressure at the time of surgical implantation into a recipient's knee should be improved. Our objective was to develop regression equations that use dimensions measured from magnetic resonance (MR) images of the contralateral knee to predict values of important meniscal parameters of the injured knee. Another objective was to incorporate these equations into an algorithm for selecting allografts that best match the size and shape of the damaged meniscus (either medial or lateral). In each of 10 knee specimens, four transverse and six cross-sectional parameters of the medial and lateral menisci were quantified from measurements obtained using a laser-based, noncontacting, 3-D coordinate digitizing system. In each of 10 contralateral knee specimens, six transverse and 24 cross-sectional (i.e., perpendicular to transverse plane) dimensions were measured for the medial and lateral menisci from MR images of each knee specimen. Simple linear regression equations related these 10 parameters to each of 38 predictor variables determined from magnetic resonance imaging (MRI) dimensions and the best regression equation for each parameter was identified. Requiring only 9 of the 30 dimensions as predictor variables, the best regression equations predicted 8 of 10 and 10 of 10 medial and lateral menisci parameters, respectively, with R 2 values >0.500. The algorithm for selecting meniscal allografts involves: collecting an inventory of meniscal allografts and determining the 10 meniscus parameter values for all allografts in the inventory; measuring the dimensions as required from MRI scans of the uninjured knee; using the dimensions as inputs to the regression equations to predict values of meniscal parameters; and selecting the meniscal allograft from the inventory that best matches the predicted values of meniscal parameters. Selecting meniscal allografts using our new algorithm may enable allografts to better meet the clinical objectives of meniscal transplantation, which are to reduce pain in some patients following meniscal resection and to inhibit the degeneration of the articular cartilage.

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A high-accuracy three-dimensional coordinate digitizing system for reconstructing the geometry of diarthrodial joints

Cited by 27 publications

References 10 publications

Morphometric Differences between the Medial and Lateral Meniscus in Healthy Men – A Three-Dimensional Analysis Using Magnetic Resonance Imaging

Morphometric Differences between the Medial and Lateral Meniscus in Healthy Men – A Three-Dimensional Analysis Using Magnetic Resonance Imaging

Dehydration rates of meniscus and articular cartilage in vitro using a fast and accurate laser-based coordinate digitizing system

New algorithm for selecting meniscal allografts that best match the size and shape of the damaged meniscus

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